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Agilent Replaces S/N Spec with Instrument Detection Limit for Triple Quadrupole GC/MS
Product News

Agilent Replaces S/N Spec with Instrument Detection Limit for Triple Quadrupole GC/MS

Agilent Replaces S/N Spec with Instrument Detection Limit for Triple Quadrupole GC/MS
Product News

Agilent Replaces S/N Spec with Instrument Detection Limit for Triple Quadrupole GC/MS


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Agilent Technologies Inc. has announced that it is replacing the signal-to-noise specification with a new instrument detection limit specification for its 7000B triple quadrupole gas chromatography/mass spectrometry system.

“Twenty or even 10 years ago, signal-to-noise was a reasonable indicator of GC/MS performance,” said Terry Sheehan, Ph.D., Agilent GC/MS marketing manager, “but GC/MS/MS baseline noise for simple standards is often too low and too inconsistent to be meaningful. Selection of different baseline segments can change the signal-to-noise ratio by five or even tenfold. Our new specification, the instrument detection limit, is based on the system’s precision, and precision directly correlates with ion count – the real measure of MS sensitivity.”

Agilent considers IDL a better measure of GC/MS/MS performance because it follows the guidelines of the International Union of Pure and Applied Chemistry, the United States Environmental Protection Agency and many other organizations.

IDL calculates typical performance from a series of automated injections for an accurate view of system performance.

The well-established Student’s t-test is applied to eight consecutive injections of 100 fg OFN using a 99 percent confidence interval.

Additionally, the IDL specification confirms the performance of every component in the GC/MS/MS system, from the autosampler through the detector.

The IDL specification of the Agilent 7000B GC/MS/MS system in EI mode is 12 fg OFN.

“Dividing the MS signal of OFN standards by a noise value approaching zero gives a signal-to-noise ratio in the thousands, but that has no correlation to the system’s true performance,” Sheehan said.

Sheehan continued, “It is time for ultra-low noise MS systems to use statistical detection criteria that are similar to the statistics that MS operators use for their methods.”

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